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@ARTICLE{Neuner:906050,
      author       = {Neuner, Irene and Veselinović, Tanja and Ramkiran, Shukti
                      and Rajkumar, Ravichandran and Schnellbaecher, Gereon
                      Johannes and Shah, N. Jon},
      title        = {7{T} ultra-high-field neuroimaging for mental health: an
                      emerging tool for precision psychiatry?},
      journal      = {Translational Psychiatry},
      volume       = {12},
      number       = {1},
      issn         = {2158-3188},
      address      = {London},
      publisher    = {Nature Publishing Group},
      reportid     = {FZJ-2022-01196},
      pages        = {36},
      year         = {2022},
      abstract     = {Given the huge symptom diversity and complexity of mental
                      disorders, an individual approach is the most promising
                      avenue for clinical transfer and the establishment of
                      personalized psychiatry. However, due to technical
                      limitations, knowledge about the neurobiological basis of
                      mental illnesses has, to date, mainly been based on findings
                      resulting from evaluations of average data from certain
                      diagnostic groups. We postulate that this could change
                      substantially through the use of the emerging
                      ultra-high-field MRI (UHF-MRI) technology. The main
                      advantages of UHF-MRI include high signal-to-noise ratio,
                      resulting in higher spatial resolution and contrast and
                      enabling individual examinations of single subjects. Thus,
                      we used this technology to assess changes in the properties
                      of resting-state networks over the course of therapy in a
                      naturalistic study of two depressed patients. Significant
                      changes in several network property measures were found in
                      regions corresponding to prior knowledge from group-level
                      studies. Moreover, relevant parameters were already
                      significantly divergent in both patients at baseline. In
                      summary, we demonstrate the feasibility of UHF-MRI for
                      capturing individual neurobiological correlates of mental
                      diseases. These could serve as a tool for therapy monitoring
                      and pave the way for a truly individualized and predictive
                      clinical approach in psychiatric care.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {35082273},
      UT           = {WOS:000749223600001},
      doi          = {10.1038/s41398-022-01787-3},
      url          = {https://juser.fz-juelich.de/record/906050},
}